1 to 25 of 71 Amazon Bedrock Jobs in the UK

data, and engineering teams to translate business outcomes into scalable, secure, and cost-optimised architectures on AWS, accelerating delivery of conversational AI products using Amazon Bedrock, agentic frameworks, and retrieval-augmented generation (RAG) patterns. Key responsibilities: Own the target-state architecture for GenAI products (voice and chat), including … multi-account strategy, landing zone alignment, network patterns, and environment segregation (dev/test/prod). Define reference architectures for Amazon Bedrock, model orchestration, RAG, tool/function calling, and agentic workflows (e.g., LangChain/LangGraph/CrewAI/Strands-style patterns) with clear guardrails. Design enterprise ...

architecture Build and optimize data pipelines supporting AI inference and feedback loops Develop backend services/APIs enabling response suggestion workflows Integrate LLM capabilities (Amazon Bedrock) for response generation and embeddings Enable continuous model tuning via: telemetry data quality scoring usage analytics Work with structured and unstructured data … experience in: Python/JVM-based backend development REST APIs/microservices Experience with cloud-native architectures on AWS Data & AI Hands-on with: Amazon Bedrock (or equivalent LLM platforms) data pipelines (batch + streaming) embeddings/retrieval architectures Experience using: Snowflake (data platform integration, CDC concepts) PostgreSQL ...

should demonstrate experience across: Enterprise and solution architecture within complex organisations Cloud-based AI/ML platforms including Azure OpenAI, Azure ML, AWS Bedrock, SageMaker, Google Vertex AI, Databricks, Snowflake, Dataiku or similar technologies Designing scalable and cost-optimised AI solutions using serverless, containerised and Kubernetes-based environments Generative ...

ensuring alignment with business objectives and delivering impactful outcomes • Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex • Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must ...

development (React, HTML/CSS, Streamlit, Gradio) for building interactive demo interfaces around AI prototypes. Experience with cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI) for model hosting and API integration. Background in marketing technology, digital marketing, or consumer-facing product development. Experience working in embedded consulting ...

DOING ────────────────────────────── 🔧 Technical Architecture • Designing end-to-end LLM and RAG systems integrated into complex enterprise workflows • Deploying and optimising models on AWS Bedrock, Azure AI Foundry, and self-hosted GPU infrastructure (vLLM, SGLang, Ollama) • Building robust MLOps/LLMOps pipelines — CI/CD, model monitoring, evaluation frameworks, observability • Making ...

tuning, RAG, other related methods. MLOps & DevOps: MLflow, TFX, Kubeflow, Docker, Kubernetes, CI/CD terminology and pipelines in GIT, Jira Cloud & Infrastructure: AWS BedRock, SageMaker AI, Azure Machine Learning, GCP Vertex AI, Kubernetes, Terraform Data Engineering: Apache Kafka, Spark, Airflow, Parquet, SQL, NoSQL and graph databases. Optimization & Scheduling ...

pipelines and Feature Store management. Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility. Hands-on experience with AWS Bedrock and Agentcore service. Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana. Strong foundation in Python and cloud-native development patterns. Solid understanding ...

built for production, not the lab Own the full technical lifecycle: model selection, deployment, MLOps, evaluation, and monitoring Deploy across cloud platforms (AWS Bedrock, Azure AI Foundry, GCP) and self-hosted GPU infrastructure Implement observability, security guardrails, and responsible AI frameworks from day one Lead cross-functional engineering teams ...

work across varied client stacks. Experience with cloud AI services and MLOps/LLMOps (eg, Azure AI Foundry, AWS SageMaker and/or Bedrock). Strong software engineering practices: Python, APIs, containerisation, CI/CD, IaC, testing, observability and production support. Modern ML/GenAI approaches: feature engineering, model ...

Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across ...

/CD) AI/ML Exposure (Key Requirement): Practical exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI and prompt engineering concepts Exposure to ML pipelines or collaboration with ...

design, API stability, backward/forward compatibility, and developer experience Nice to have: Experience with multi-modal systems (video, audio, or image processing) AWS Bedrock, SageMaker, or similar managed AI services Observability frameworks for LLM systems (Langfuse, Arize, LangSmith) RAG pipelines, vector databases, or retrieval-augmented systems CI/ ...

Stack Python TensorFlow/PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed ...

development through knowledge sharing, presentations, or published work. Technologies and Platforms Cloud AI services: Azure OpenAI Service, Azure AI Services, Azure Machine Learning, AWS Bedrock, AWS SageMaker, AWS Lambda, API Gateway Data platforms: Microsoft Fabric, Databricks, Snowflake, Azure Data Factory AI development and tooling: Copilot Studio, Power Platform, Cursor ...

design authority Comfortable working directly with senior client stakeholders Strong mentoring and coaching capability Experience with some of the following technologies or ecosystems: Amazon Bedrock and SageMaker Claude/Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks ...

enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure ...

structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy ...

plenty of room to influence standards and tooling as the function matures. Likely technologies and themes include: Python development OpenAI models Anthropic models AWS Bedrock LLM workflows Agentic AI systems Machine learning algorithms API-led microservices Cloud platforms Monitoring, management, and alerting Vulnerability management workflows AI-assisted report generation ...

Gateway, EventBridge, SQS, Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python ...

build trust and confidence with senior stakeholders • Experience delivering AI solutions into production • Strong Python engineering fundamentals • Azure AI Foundry, Azure ML, Databricks, SageMaker, Bedrock, or similar • MLOps, CI/CD, observability, and production AI delivery • Experience leading teams, workshops, and technical discussions You’ll be: • Leading client workshops ...

from selecting the right model architecture to ensuring robust CI/CD and MLOps pipelines. Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama. Implement frameworks and approaches ...

enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure ...

must have practical, demonstrable exposure to AI/ML concepts. We want to see: Experience with cloud-based AI services (e.g., AWS Bedrock or similar). An understanding of Generative AI, prompt engineering, or supporting AI-enabled workflows. Experience collaborating with Data Science teams or working alongside ML pipelines. ...

systems. Strong Python skills and practical expertise with: scikit-learn for conventional ML and data science. PyTorch, TensorFlow, or Keras for deep learning. AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions. CrewAI (or similar frameworks) for agentic AI projects. Pandas/NumPy for data processing and transformation. ...